Over the years, the mode estimation problem has received attention in many different contexts [1]}, [2]}, [3]}. We illustrate the gains obtained from PPR-ME in two contrasting real-life applications. In Section , we show that PPR-ME, used as a subroutine, can reduce the sample complexity of winner-forecasting in indirect elections [4]}. In Section , we
illustrate the relevance of PPR-ME for
probabilistic verification in permissionless blockchains [5]}.
We conclude with a summary in Section .
